The use of lane change models has evolved significantly over the years. In the past, such models served mainly as tools for simulating the behavior of lane changes in traffic settings [1]}, [2]}, [3]}, [4]}, with a particular interest in their effects on traffic flow stability [5]}, [6]}, [7]}. With the advent of autonomous driving, however, much effort has been placed on re-purposing similar insights to augment the decision-making behaviors of automated vehicles (AVs).
Most relevant to the present paper, models such as these have served to define the movement of AVs. These approaches, however,
often
consider a localized perspective of lane change decision-making, choosing actions that safely achieve a certain local gain [8]}, [9]} and at times coordinating with local vehicles [10]}, [11]}.
In contrast, this paper aims to examine whether longer horizon communication signals can further augment the mobility of the system.
